The graph represents a network of 1,659 Twitter users whose recent tweets were included in a list (Tweet ID List - #cardioobstetrics 3rd ID search) of 4847 tweet IDs, or who were replied to or mentioned in those tweets. 4847 out of 4847 tweets were collected. The network was obtained from Twitter on Tuesday, 15 February 2022 at 10:35 UTC.
The tweets in the network were tweeted over the 1388-day, 4-hour, 0-minute period from Friday, 27 April 2018 at 14:42 UTC to Sunday, 13 February 2022 at 18:42 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1659
Unique Edges : 4823
Edges With Duplicates : 16745
Total Edges : 21568
Self-Loops : 964
Reciprocated Vertex Pair Ratio : 0.0766983199415632
Reciprocated Edge Ratio : 0.14246947082768
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1659
Maximum Edges in a Connected Component : 21568
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.648507
Graph Density : 0.00267939396980029
Modularity : 0.14529
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,659 Twitter users whose recent tweets were included in a list (Tweet ID List - #cardioobstetrics 3rd ID search) of 4847 tweet IDs, or who were replied to or mentioned in those tweets. 4847 out of 4847 tweets were collected. The network was obtained from Twitter on Tuesday, 15 February 2022 at 10:35 UTC.
The tweets in the network were tweeted over the 1388-day, 4-hour, 0-minute period from Friday, 27 April 2018 at 14:42 UTC to Sunday, 13 February 2022 at 18:42 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterIDList
Graph Term : Tweet ID List - #cardioobstetrics 3rd ID search
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[165] heart,disease [146] during,pregnancy [143] #cardioobstetrics,minnowwalsh [131] maternal,mortality [125] pregnancy,#cardioobstetrics [120] pregnant,women [116] minnowwalsh,drklindley [111] drklindley,nataliebello9 [104] peripartum,cardiomyopathy [97] nataliebello9,cardiopcimom Top Word Pairs in Tweet in G1:
[41] #cardioobstetrics,#abcardio4moms [22] #accwic,#wic [19] #wic,#accwic [18] #wic,#wim [15] 3,6 [15] 6,5 [15] 5,d [15] much,more [15] #abcardio4moms,#wic [14] #internationalwomensday,#iwd2021 Top Word Pairs in Tweet in G2:
[76] heart,disease [48] during,pregnancy [46] #cardioobstetrics,minnowwalsh [46] pregnant,women [40] pre,conception [37] pregnancy,outcomes [36] minnowwalsh,drklindley [33] pregnancy,#cardioobstetrics [33] drklindley,nataliebello9 [33] heart,failure Top Word Pairs in Tweet in G3:
[50] #cardioobstetrics,minnowwalsh [48] nataliebello9,cardiopcimom [44] drklindley,nataliebello9 [43] minnowwalsh,drklindley [42] maternal,mortality [42] pregnant,women [40] minnowwalsh,cardiopcimom [40] cardiopcimom,melindadavismd [35] cardiovascular,disease [35] during,pregnancy Top Word Pairs in Tweet in G4:
[54] cardionerds,#cardioobstetrics [53] #cardioobstetrics,series [39] https,t [39] t,co [36] peripartum,cardiomyopathy [34] pregnancy,#cardioobstetrics [28] during,pregnancy [25] maternal,mortality [24] co,chair [24] heart,disease Top Word Pairs in Tweet in G5:
[29] maternal,mortality [24] during,pregnancy [24] pregnancy,#cardioobstetrics [19] #cardioobstetrics,minnowwalsh [18] drklindley,nataliebello9 [18] nataliebello9,cardiopcimom [18] heart,disease [15] #cardioobstetrics,#accwic [14] nataliebello9,melindadavismd [13] minnowwalsh,drklindley Top Word Pairs in Tweet in G6:
[20] #cardioobstetrics,minnowwalsh [16] minnowwalsh,drklindley [15] maternal,mortality [15] heart,disease [14] cardiovascular,disease [13] pregnancy,outcomes [13] nataliebello9,cardiopcimom [12] disorders,pregnancy [11] adverse,pregnancy [11] heart,failure Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6: